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BioCatch vs F5 Shape Security comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

BioCatch
Ranking in Fraud Detection and Prevention
4th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
F5 Shape Security
Ranking in Fraud Detection and Prevention
7th
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
Bot Management (2nd)
 

Mindshare comparison

As of November 2024, in the Fraud Detection and Prevention category, the mindshare of BioCatch is 8.9%, up from 6.8% compared to the previous year. The mindshare of F5 Shape Security is 1.9%, down from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Fraud Detection and Prevention
 

Featured Reviews

reviewer1464606 - PeerSpot reviewer
Stable with good behavioral biometrics and great technical support
BioCatch is one of the fraud detection tools which also has machine learning capabilities and it has what is called a machine learning model feature. It is run in the background. The consequence of those machine models is it is complex to perform data functions and the activity and programming techniques. The decision-making for determining what's happening within those models is a little bit complex and not at all transparent. It's not easy for businesses to understand how the model is using the data of the bank customers in order to come to the assumption it does. All of these things are background technologies and the business may not understand what's happening in the background. The customer will never know what tools are being used to monitor the fraud at all, however, the business manager should certainly be interested in knowing how this model is working. People in banks are very particular when it comes to approving these models, as they have to be accountable to the regulators on the other side. They need to understand and explain what customer data is being consumed, why it's being consumed and if it's consumption is endangering any privacy rights. There needs to be clarity in terms of how much anonymization of the data happens before BioCatch comes in. I might have a gap in knowledge, and the solution may have been updated since I used it in December of last year.
Nikolay Dimitrov - PeerSpot reviewer
Easy to configure and blocks bot attacks for web users
The solution is deployed on the F5 cloud. The solution's real-time analytics help you see what has been blocked. It helps to see whether the attack category was an automation attack or a fake browser. F5 Shape Security has a normal dashboard. We are doing F5 Shape Security migrations for 30 customers. F5 Shape Security uses Javascript. For a lot of competitors, the Javascript can be reverse-engineered by attackers to bypass the protection. F5 Shape Security has machine learning authentication of the Java script. If you had hacked it, the encryption would have been changed. It's really hard for attackers to reverse engineer the F5 Shape Security JavaScript. Overall, I rate the solution a nine out of ten.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It can track mouse movements as well as the actual oriental moments of such as the movement of devices, how they are held, and the angles which at they are held. All these are captured for customers and a behavioral profile is built for the customer over a period of time. This would be matched against any fraudulent behavior. If, for example, suddenly a customer account seems to be accessed by our profile, which is not one particular customer account, if the movements or habits are suspect, we can catch the fraud and shut it down."
"F5 Shape Security's most valuable feature is performance."
"The most valuable feature of the solution is the ease of configuration."
 

Cons

"BioCatch is one of the fraud detection tools which also has machine learning capabilities and it has what is called a machine learning model feature. It is run in the background. The consequence of those machine models is it is complex to perform data functions and the activity and programming techniques. The decision-making for determining what's happening within those models is a little bit complex and not at all transparent. It's not easy for businesses to understand how the model is using the data of the bank customers in order to come to the assumption it does."
"I want the solution's custom exclusion rules to be more granular."
"The tool's price is high."
 

Pricing and Cost Advice

Information not available
"The solution is moderately priced."
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Top Industries

By visitors reading reviews
Financial Services Firm
60%
Computer Software Company
7%
Manufacturing Company
4%
Logistics Company
3%
Financial Services Firm
32%
Healthcare Company
11%
Retailer
8%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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What makes automation distinct as an attack vector?
An aspect that sets automation apart as an attack vector is its ability to mimic legitimate user behavior and evade traditional security measures. Automated attacks can simulate human-like interact...
How does F5 Shape Security’s system work? What are its components?
One key component is the Shape Defense Engine. It sends telemetry to the Shape AI Cloud, a highly secure data system where machine learning algorithms analyze the data to detect patterns of automat...
Can F5 Shape Security protect both our web and mobile applications? Are there any specific features for mobile app protection?
F5 Shape Security can protect web apps as well. It’s a bit complicated, but goes something like this: The platform employs a JavaScript-based collection of client signals to gather data on user beh...
 

Also Known As

No data available
Shape Security
 

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Overview

 

Sample Customers

Information Not Available
Wells Fargo, Loblaw, JetBlue, Zoosk
Find out what your peers are saying about NICE, ThreatMetrix, FICO and others in Fraud Detection and Prevention. Updated: October 2024.
816,406 professionals have used our research since 2012.